Senior Software Engineer (Data Integration), Amsterdam

Requirements

8+ years of professional software engineering experience, with a strong focus on data engineering, backend systems, or distributed data infrastructure

Proficient in Python and SQL; comfortable with JavaScript in full-stack or API contexts

Strong hands‑on experience with distributed processing frameworks (e.g., Spark, Databricks, or equivalent) working with large‑scale datasets in production

Practical experience across AWS, GCP, and Databricks, and their core data services

Strong platform‑thinking and API‑first service design experience, building components that are reusable and consumable by downstream teams

Hands‑on experience with streaming and event‑driven data processing frameworks (e.g., Kafka, Flink, Spark Streaming, or equivalent)

Experience building or operating multi‑tenant platforms with strong isolation and security boundaries

Hands‑on experience with workflow orchestration tools (Apache Airflow, dbt, Prefect, or equivalent)

Experience incorporating AI and machine learning capabilities into production data workflows

Solid understanding of data privacy regulations (GDPR, CCPA) and practical experience building compliant systems

A clear communicator and cross‑functional collaborator, able to articulate technical decisions, engage constructively in design reviews, and navigate complex stakeholder relationships outside your immediate team

An active mentor, you invest in others, give direct feedback, and care about raising the bar for the team as a whole

(Desirable) Strong familiarity with data warehousing and lakehouse technologies, with a preference for Snowflake

(Desirable) Exposure to ad tech, audience activation, data licensing, or digital media, familiarity with concepts such as device graphs, audience segmentation, identity resolution, or measurement

What the job involves

We are looking for a Senior Software Engineer to join our Data Integration team in Amsterdam

The Data Integration team builds and operates the platform that moves data into, through, and out of Samba TV: ingestion from clients and partners, processing and enrichment against our identity and signal layers, and distribution to downstream destinations

This is a foundational platform investment, built to scale with the next generation of data partnerships and to power agentic, self‑service data workflows

You will design, build, and operate production‑grade data systems that ingest, transform, and deliver data at scale

Design, build, and maintain reliable data pipelines for ingestion, transformation, and distribution of large‑scale datasets, processing high volumes efficiently in production

Develop ETL/ELT workflows using distributed computing frameworks on cloud infrastructure, applying strong engineering judgment to architectural and implementation decisions within your scope

Design and build API‑first services that expose ingestion, processing, and distribution capabilities to internal teams and external consumers, with a focus on reliability, clear contracts, and ease of integration

Implement data quality validation, monitoring, and observability for the components you own, ensuring reliability and correctness at scale

Contribute to platform‑grade, reusable components that enable downstream teams and support self‑service consumption

Take end‑to‑end ownership of key components within the data integration platform, ingestion, processing, or distribution, and drive their reliability, scalability, and evolution

Build new partner and destination integrations end‑to‑end, including throughput tuning, operational handoff, and contract‑driven delivery

Design and implement privacy‑compliant data handling practices, applying GDPR, CCPA, and Samba's data governance policies, including support for clean room and privacy‑preserving data collaboration workflows

Engage cross‑functional stakeholders, product, data science, and partner teams, to ensure the systems you build support all downstream use cases

Drive technical design for components within your scope, producing clear design documents, actively contributing to architecture discussions, and aligning the team on well‑reasoned solutions

Conduct rigorous code reviews and uphold high standards for code quality, testability, and maintainability

Mentor engineers on the team through structured feedback, pairing, and design review

Collaborate across adjacent teams, understanding their constraints and requirements, and advocating for shared standards where applicable

Own the reliability of your components end‑to‑end, monitor their health, respond to incidents, and follow through on post‑mortem improvements with rigor

Participate in on‑call rotations and contribute actively to improving operational practices across the team

Drive improvements to CI/CD pipelines, deployment processes, and testing coverage for your team's systems

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